A Composite Indicators Approach to Assisting Decisions in Ship LCA/LCC

Yiannis Smirlis, Marc Bonazountas

2020

Abstract

During of the life cycle of ship, multiple decisions concerning design, operation and demolition must be made. The Life Cycle Assessment/Cost (LCA/LCC) framework applied in ships, mandates that such decisions need to encounter dominant economic and environmental aspects about the ship. In this paper we consider these decisions in the context of Multi-Criteria Decision Analysis and present a methodology to construct composite indicators to assist decision making. For the criteria introduced we propose the use of key performance indicators (KPIs) that quantify economic and environmental dimensions. For the construction, aggregation and weighting of the KPIs we present linear programming models that estimate the weights endogenously from the data. The models developed can discriminate the optimum designs, thus assisting decision making.

Paper Citation

in Harvard Style

Smirlis Y. and Bonazountas M. (2020). A Composite Indicators Approach to Assisting Decisions in Ship LCA/LCC. In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-396-4, pages 143-150. DOI: 10.5220/0008895401430150

in Bibtex Style

@conference{icores20,
author={Yiannis Smirlis and Marc Bonazountas},
title={A Composite Indicators Approach to Assisting Decisions in Ship LCA/LCC},
booktitle={Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2020},
pages={143-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008895401430150},
isbn={978-989-758-396-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Composite Indicators Approach to Assisting Decisions in Ship LCA/LCC
SN - 978-989-758-396-4
AU - Smirlis Y.
AU - Bonazountas M.
PY - 2020
SP - 143
EP - 150
DO - 10.5220/0008895401430150